Machine Learning Engineer
Blank Bio (YC S25)United States11 hours ago
Full-timeEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
About Blank Bio
Blank Bio is a YC-backed TechBio startup building the next generation of RNA foundation models. Our mission is to decode RNA biology to accelerate the discovery and development of RNA-based therapeutics, biomarkers, and diagnostics. We believe RNA is the programmable layer of biology — and that advances in AI will unlock its full potential for medicine.
We’re a technical team of PhDs and operators with experience at pioneering TechBio companies (Valence, Recursion, Deep Genomics) and top AI labs. We’ve raised $7.1M from investors like Nova Threshold, Leonis Capital, SignalFire, Define Ventures, and others.
The Role
We are looking for a Machine Learning Engineer to join our founding team. You will be responsible for scaling our models, building the training infrastructure, and ensuring reproducibility across large-scale biological datasets. You’ll work closely with research scientists and biologists to turn cutting-edge machine learning into practical, high-impact tools for RNA biology.\ \ As an early-stage startup, we move fast, work across disciplines, and embrace ambiguity. We’re looking for people who thrive in dynamic environments, are eager to take ownership, and want to help define both the science and the culture of a company at the beginning of its journey.
Responsibilities
Must-haves
Blank Bio is a YC-backed TechBio startup building the next generation of RNA foundation models. Our mission is to decode RNA biology to accelerate the discovery and development of RNA-based therapeutics, biomarkers, and diagnostics. We believe RNA is the programmable layer of biology — and that advances in AI will unlock its full potential for medicine.
We’re a technical team of PhDs and operators with experience at pioneering TechBio companies (Valence, Recursion, Deep Genomics) and top AI labs. We’ve raised $7.1M from investors like Nova Threshold, Leonis Capital, SignalFire, Define Ventures, and others.
The Role
We are looking for a Machine Learning Engineer to join our founding team. You will be responsible for scaling our models, building the training infrastructure, and ensuring reproducibility across large-scale biological datasets. You’ll work closely with research scientists and biologists to turn cutting-edge machine learning into practical, high-impact tools for RNA biology.\ \ As an early-stage startup, we move fast, work across disciplines, and embrace ambiguity. We’re looking for people who thrive in dynamic environments, are eager to take ownership, and want to help define both the science and the culture of a company at the beginning of its journey.
Responsibilities
- Develop and optimize large-scale ML training pipelines for RNA foundation models.
- Implement distributed training systems (multi-GPU/TPU) and optimize performance at scale.
- Build infrastructure for dataset management, preprocessing, and benchmarking.
- Collaborate with scientists to translate biological questions into ML tasks.
- Contribute to the design and evaluation of new architectures, embeddings, and fine-tuning strategies.
- Maintain high-quality engineering standards, including reproducibility, testing, and deployment readiness.
Must-haves
- 3+ years of work experience
- Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or TensorFlow).
- Hands-on experience training large-scale models (transformers, diffusion, or sequence models).
- Strong background in distributed training, optimization, and performance profiling.
- Track record of building ML systems that scale and ship.
- Experience with biological or messy, real-world scientific data.
- Background in computational biology, bioinformatics, or adjacent fields.
- Experience in early-stage startups or interdisciplinary ML-for-science projects.
- Competitive salary and meaningful early-stage equity.
- Comprehensive health, dental, and vision coverage.
- Generous vacation and parental leave policies.
Key Skills
Ranked by relevanceReady to apply?
Join Blank Bio (YC S25) and take your career to the next level!
Application takes less than 5 minutes